High-resolution spatial transcriptomics of adult and pediatric human liver with Visium HD

The liver is composed of diverse cell populations that coordinate essential metabolic and immune functions. Single-cell transcriptomics has advanced characterization of liver cellular composition, but dissociation of tissue to single-cells can introduce biases through the enrichment or depletion of cell types. Spatial transcriptomics is a complementary approach to avoid inherent bias for cell populations and to add important spatial context. The Visium HD spatial transcriptomics technology from 10X Genomics enables high-resolution spatial mapping of gene expression in tissue samples with a bin width of 2 µm enabling quantification of transcripts at a sub-cellular resolution. We applied Visium HD to three healthy human liver donor samples, from two adult and one pediatric donor. We identified cell types by clustering 8 µm bins and integration with single-cell reference maps. Differential expression analyses identified spatially distinct gene expression resulting in development of a high-resolution map of the liver. This resource provides cell-level and spatially-resolved insights into the cellular and anatomical heterogeneity of the liver to serve as a resource for researchers to identify disease-specific spatial signatures and novel therapeutic targets.

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Publication Details

Journal
Scientific Data
Published
2026-06-24
DOI
https://doi.org/10.1038/s41597-026-07597-2
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
0.00

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article

High-resolution spatial transcriptomics of adult and pediatric human liver with Visium HD

Amanda Ricciuto, Jawairia Atif, Faizan Hasan, Rachel D. Edgar et al.
Scientific Data
Single-cell and spatial transcriptomics
article

High-resolution spatial transcriptomics of adult and pediatric human liver with Visium HD

Amanda Ricciuto, Jawairia Atif, Faizan Hasan, Rachel D. Edgar, Diana Nakib, Sonya A. MacParland, Ian McGilvray, Blayne A. Sayed, Gary D. Bader, Cornelia Thoeni
article en

Abstract

The liver is composed of diverse cell populations that coordinate essential metabolic and immune functions. Single-cell transcriptomics has advanced characterization of liver cellular composition, but dissociation of tissue to single-cells can introduce biases through the enrichment or depletion of cell types. Spatial transcriptomics is a complementary approach to avoid inherent bias for cell populations and to add important spatial context. The Visium HD spatial transcriptomics technology from 10X Genomics enables high-resolution spatial mapping of gene expression in tissue samples with a bin width of 2 µm enabling quantification of transcripts at a sub-cellular resolution. We applied Visium HD to three healthy human liver donor samples, from two adult and one pediatric donor. We identified cell types by clustering 8 µm bins and integration with single-cell reference maps. Differential expression analyses identified spatially distinct gene expression resulting in development of a high-resolution map of the liver. This resource provides cell-level and spatially-resolved insights into the cellular and anatomical heterogeneity of the liver to serve as a resource for researchers to identify disease-specific spatial signatures and novel therapeutic targets.

Scientific Data
Canadian Institute for Advanced Research (CA), Dalhousie University (CA), University Health Network (CA), University of Toronto (CA), Lunenfeld-Tanenbaum Research Institute (CA), Hospital for Sick Children (CA), Nova Scotia Health Authority (CA), Princess Margaret Cancer Centre (CA), Sinai Health System (CA), SickKids Foundation (CA)
Public Health Agency of Canada, Toronto General and Western Hospital Foundation, Canada First Research Excellence Fund, University Health Network Foundation, Canadian Institutes of Health Research
Openalex Percentile: Top 11%
Single-cell and spatial transcriptomics
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